{ "id": "math/0606625", "version": "v1", "published": "2006-06-24T13:57:00.000Z", "updated": "2006-06-24T13:57:00.000Z", "title": "A Central Limit Theorem for biased random walks on Galton-Watson trees", "authors": [ "Yuval Peres", "Ofer Zeitouni" ], "comment": "34 pages, 4 figures", "categories": [ "math.PR" ], "abstract": "Let ${\\cal T}$ be a rooted Galton-Watson tree with offspring distribution $\\{p_k\\}$ that has $p_0=0$, mean $m=\\sum kp_k>1$ and exponential tails. Consider the $\\lambda$-biased random walk $\\{X_n\\}_{n\\geq 0}$ on ${\\cal T}$; this is the nearest neighbor random walk which, when at a vertex $v$ with $d_v$ offspring, moves closer to the root with probability $\\lambda/(\\lambda+d_v)$, and moves to each of the offspring with probability $1/(\\lambda+d_v)$. It is known that this walk has an a.s. constant speed $\\v=\\lim_n |X_n|/n$ (where $|X_n|$ is the distance of $X_n$ from the root), with $\\v>0$ for $ 0<\\lambdam$ the walk is positive recurrent, and there is no CLT.) The most interesting case by far is $\\lambda=m$, where the CLT has the following form: for almost every ${\\cal T}$, the ratio $|X_{[nt]}|/\\sqrt{n}$ converges in law as $n \\to \\infty$ to a deterministic multiple of the absolute value of a Brownian motion. Our approach to this case is based on an explicit description of an invariant measure for the walk from the point of view of the particle (previously, such a measure was explicitly known only for $\\lambda=1$) and the construction of appropriate harmonic coordinates.", "revisions": [ { "version": "v1", "updated": "2006-06-24T13:57:00.000Z" } ], "analyses": { "subjects": [ "60K37", "60F05", "60J80", "82C41" ], "keywords": [ "biased random walk", "central limit theorem", "nearest neighbor random walk", "appropriate harmonic coordinates", "moves closer" ], "note": { "typesetting": "TeX", "pages": 34, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2006math......6625P" } } }